Add your latest resume to match with open positions.

4 results for Data Engineer in Rancho Cucamonga, CA

Data Engineer

Glendale, CA
onsite
Temporary / Contract
82 - 87 USD / Hourly
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence. Responsibilities: • Develop, maintain, and optimize data pipelines to support the Core Data platform. • Create tools and services to enhance data discovery, governance, and privacy. • Collaborate with product managers, architects, and software engineers to ensure the success of data platforms. • Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions. • Establish and document best practices for pipeline configurations, naming conventions, and operational standards. • Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs). • Participate in agile and scrum ceremonies to improve collaboration and team processes. • Foster relationships with stakeholders to understand their needs and prioritize platform enhancements. • Maintain detailed documentation to support data governance and quality initiatives.
2026-04-03T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
100000 - 150000 USD / Yearly
Mid-Level Data Engineer (On-Site | Los Angeles, CA)Build systems that actually drive business decisions. This is not a “maintain the pipeline and go home” kind of role. We’re looking for a sharp, early-career Data Engineer who wants to operate close to the business, own meaningful projects end-to-end, and build systems that directly impact how decisions get made across an entire organization. You’ll join a small, high-performing team where your work won’t get buried—it will be seen, used, and relied on daily. If you’re someone who enjoys solving messy problems, building from scratch, and working in a fast-paced, high-expectation environment, this is the kind of role where you’ll grow quickly. What You’ll Do<ul><li>Design and build automated data systems (e.g., billing workflows, internal tools)</li><li>Create and maintain BI dashboards and reports using Python, Excel, and visualization tools</li><li>Write and optimize SQL queries and ETL pipelines for clean, reliable data flow</li><li>Analyze large datasets to uncover actionable insights and trends</li><li>Partner with stakeholders across the business to translate needs into technical solutions</li><li>Help improve data accessibility and usability across departments</li><li>Ensure data integrity and accuracy through audits and troubleshooting</li><li>Contribute to a growing data function with high visibility and ownership</li></ul>Why This Role Stands Out<ul><li>High ownership: You’ll build systems from the ground up, not just maintain them</li><li>Small team, big impact: Work directly with senior leadership and decision-makers</li><li>Growth opportunity: The team is expanding—this role can evolve quickly</li><li>Flexibility within intensity: While this is a high-performance environment, there’s trust and flexibility when needed</li></ul>
2026-04-16T00:00:00Z

Sr. AWS Data Engineer

Torrance, CA
onsite
Temporary / Contract
60 - 62 USD / Hourly
Our client is seeking a Senior AWS Data Engineer for a long term, multi-year assignment. This role is onsite 4 days/week in Torrance, CA. This role is to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements. Key Responsibilities<ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>
2026-04-10T00:00:00Z

Business Intelligence Developer (BI Developer)

Torrance, CA
onsite
Temporary / Contract
60 - 65 USD / Hourly
We are seeking an experienced Senior Business Intelligence Developer to design, develop, and support enterprise‑level reporting and analytics solutions. This role focuses on building high‑performance dashboards, semantic layers, and analytical datasets using Power BI, SAP BusinessObjects, and complex SQL across multiple database platforms.The ideal candidate has deep BI development experience, strong data modeling skills, and the ability to partner closely with business stakeholders, data engineering, and architecture teams to deliver accurate, scalable reporting solutions. Key Responsibilities<ul><li>Design, develop, and maintain enterprise BI reports, dashboards, and analytical solutions</li><li>Build advanced dashboards and data models using Power BI, including DAX and performance optimization</li><li>Design and support enterprise reporting solutions using SAP BusinessObjects</li><li>Partner with business stakeholders to gather, analyze, and document reporting and analytics requirements</li><li>Develop complex SQL queries, stored procedures, and optimized data retrieval logic</li><li>Perform backend data analysis across SQL Server, DB2, and Amazon Redshift databases</li><li>Design optimized datasets and semantic layers to support BI and analytics tools</li><li>Troubleshoot data discrepancies, reporting inconsistencies, and performance issues</li><li>Implement data validation and reconciliation logic to ensure reporting accuracy</li><li>Optimize database queries and stored procedures for high‑performance analytics workloads</li><li>Collaborate closely with Data Engineering and Architecture teams to align BI solutions with enterprise data platforms</li><li>Support production BI environments and resolve reporting‑related incidents</li></ul>
2026-04-10T00:00:00Z